Text Classification
Transformers
PyTorch
English
roberta
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use vibhorag101/roberta-base-suicide-prediction-phr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vibhorag101/roberta-base-suicide-prediction-phr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="vibhorag101/roberta-base-suicide-prediction-phr")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("vibhorag101/roberta-base-suicide-prediction-phr") model = AutoModelForSequenceClassification.from_pretrained("vibhorag101/roberta-base-suicide-prediction-phr", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Multilingual model — testing for mobile deployment
#3 opened 3 months ago
by
3morixd
Adding `safetensors` variant of this model
#2 opened 11 months ago
by
SFconvertbot
Adding `safetensors` variant of this model
#1 opened almost 2 years ago
by
SFconvertbot